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Author: search.filters.author.Surinkaew, TossapornSubject: search.filters.subject.firefly algorithm

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    Robust stabilization of multimachine power system by DFIG wind turbine equipped with power oscillation damper
    (2014-10-15)
    Surinkaew, Tossaporn
    ;
    Ngamroo, Issarachai
    Various system uncertainties and disturbances may cause the power system instability. The power system stabilizing controller designed without taking such uncertainties into account may not tolerate and fail to operate. This paper aim at the new robust control design of power oscillation damper (POD) equipped with the doubly-fed induction generator (DFIG) wind turbine. Without difficulty of mathematic modeling, the inverse output multiplicative perturbation is used to represent system uncertainties. The structure of POD is specified as a practical 2nd-order lead/lag compensator with single input. The POD parameters optimization problem is formulated considering the variation of tie-line power flows. The POD parameters are automatically tuned by firefly algorithm so that the damping performance and robustness can be achieved. Simulation results in IEEE 9 bus test system ensure that the proposed robust POD is superior to the conventional POD in terms of the damping performance and robustness.
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    Coordinated robust control of DFIG wind turbine and pss for stabilization of power oscillations considering system uncertainties
    (2014-01-01)
    Surinkaew, Tossaporn
    ;
    Ngamroo, Issarachai
    Uncertainties in power systems, such as intermittent wind power, generating and loading conditions may cause the malfunction of power system stabilizing controllers, which are designed without considering such uncertainties. To enhance the robustness of stabilizing controllers against system uncertainties, this paper proposes a new coordinated robust control of doubly fed induction generator (DFIG) wind turbine equipped with power oscillation damper (POD) and synchronous generator installed with power system stabilizer (PSS) for stabilization of power system oscillations. Without the difficulty of mathematical representation, the inverse output multiplicative perturbation is used to model system uncertainties. The structure of POD and PSS is specified as a practical second-order lead/lag compensator with single input. The parameters optimization of POD and PSS is conducted so that the stabilizing performance and robustness of POD and PSS are augmented. The improved firefly algorithm is applied to solve the optimization problem and achieve the POD and PSS parameters automatically. Simulation study in the modified IEEE-39 bus New England system included with DFIG wind turbines ensures that the robustness and stabilizing performance of the proposed coordinated DFIG with POD and PSS are much superior to those of the conventional DFIG with POD and PSS under various severe disturbances and system uncertainties. © 2014 IEEE.
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    Robust decentralized power oscillation dampers design of DFIG wind turbines for stabilization of inter-area oscillation
    (2014-01-01)
    Surinkaew, Tossaporn
    ;
    Ngamroo, Issarachai
    A new decentralized power oscillation dampers (POD) design of doubly-fed induction generator (DFIG) wind turbines for damping of inter-area oscillation is presented in this paper. The practical 2<sup>nd</sup>-order lead/lag compensator with single input signal is used for the POD structure. The POD is equipped with the voltage controller of rotor side converter of DFIG. With the damping signal from POD, the reactive power output of DFIG can be modulated to damp out the oscillations. The parameters optimization of decentralized PODs is conducted over a wide range of tie-line power flow levels so that the damping performance of PODs can be enhanced. The improved firefly algorithm is used to achieve the optimal POD parameters automatically. Study results in a two-area four-machine interconnected system show that the stabilizing effect of proposed decentralized POD is higher than the conventional POD under severe faults, heavy power flows, and wind speeds. © 2014 IEEE.